About
This Python server bridges applications and the NBA's data services, offering both real-time game information and historical statistics. Utilizing the Model Context Protocol (MCP), it serves as an interface for accessing live scoreboard data, detailed player statistics, team game logs, league standings, game results, and schedules. It is built on the NBA API, Pydantic for input validation, and Pandas for data manipulation.
Key Features
- Provides team game logs, statistics, and league standings.
- Utilizes MCP framework for seamless integration.
- Offers schedule information and game results.
- Fetches live game data including scoreboard, box scores, and play-by-play.
- Retrieves player information and career statistics.
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Use Cases
- Building NBA data-driven tools and services.
- Integrating NBA data into custom applications.
- Analyzing real-time game statistics.